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CNN-G: convolutional neural network combined with graph for image segmentation with theoretical analysis 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Lu, Yi;  Chen, Yaran;  Zhao, Dongbin;  Liu, Bao;  Lai, Zhichao;  Chen, Jianxin
浏览  |  Adobe PDF(5636Kb)  |  收藏  |  浏览/下载：324/134  |  提交时间：2020/10/19
Graph neural network, image segmentation, self-attention, structure pattern learning.  
Design of a Miniature Underwater Angle-of-Attack Sensor and Its Application to a Self-Propelled Robotic Fish 期刊论文
IEEE JOURNAL OF OCEANIC ENGINEERING, 2020, 卷号: 45, 期号: 4, 页码: 1295-1307
作者:  Yu, Junzhi;  Wang, Tianzhu;  Wu, Zhengxing;  Tan, Min
Adobe PDF(2775Kb)  |  收藏  |  浏览/下载：221/29  |  提交时间：2021/01/07
Robot sensing systems  Real-time systems  Propulsion  Magnetomechanical effects  Magnetic analysis  Sea measurements  Angle of attack (AoA)  angle sensor  measurement  robotic fish  underwater  
A Selection Criterion for the Optimal Resolution of Ground-Based Remote Sensing Cloud Images for Cloud Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 期号: 3, 页码: 1358-1367
作者:  Wang Y(王钰);  Wang CH(王春恒);  Shi CZ(史存召);  Xiao BH(肖柏华)
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载：344/112  |  提交时间：2019/05/06
Cloud Image Classification  Local Binary Patterns  Resolution Selection  Kullback– Leibler (Kl) Divergence  
Ground-based Cloud Classification by Learning Stable Local Binary Patterns 期刊论文
Atmospheric Research, 2018, 期号: 6, 页码: 74-89
作者:  Wang Y(王钰);  Shi CZ(史存召);  Wang CH(王春恒);  Xiao BH(肖柏华)
浏览  |  Adobe PDF(1564Kb)  |  收藏  |  浏览/下载：248/93  |  提交时间：2019/05/06
Local Binary Patterns  Feature Selection And Extraction  Texture Image  Cloud Classification  
Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression 期刊论文
NEURAL PROCESSING LETTERS, 2015, 期号: 3, SI, 页码: 371-388
作者:  Li, Q. L.;  Song, Y.;  Hou, Z. G.;  Z. G. Hou
浏览  |  Adobe PDF(3226Kb)  |  收藏  |  浏览/下载：175/46  |  提交时间：2018/01/05
Semg  Ls-svr  Motion Estimation  Neural Network